Senior Data Engineer

Microsoft

Microsoft

Data Science
USD 119,800-234,700 / year
Posted on Oct 29, 2025

Senior Data Engineer

Redmond, Washington, United States

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Date posted
Oct 28, 2025
Job number
1903224
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Software Engineering
Discipline
Data Engineering
Employment type
Full-Time

Overview

Join us at the forefront of innovation in Microsoft’s Copilot Studio Growth team within the Business Industry Copilot organization—where data and insights shape the future of customer experiences and business growth. As a Senior Data Engineer, you will play a pivotal role in building the next generation of copilots and intelligent data agents that empower key business decisions by Microsoft leadership through data-driven insights and automation.


We are looking for a Senior Data Engineer to join our team!

Our mission is to revolutionize how data is engineered, analyzed, and activated—leveraging generative AI to deliver scalable, adaptive, and intuitive solutions that drive business and revenue growth. If you're interested about transforming raw data and building innovative data products while helping define the future of AI-powered analytics, this is your opportunity to lead that change.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience.
  • 1+ year(s) with enterprise-scale data governance, security, and compliance.
  • 1+ year(s) demonstrated success in delivering products that drive measurable business impact.
  • 1+ year(s) knowledge in data engineering and AI-driven analytics.

Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Experience in Product led growth analytics.
  • Experience in AI-driven analytics.
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience."

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until November 2, 2025.

#BICJobs

#MCSJobs

Responsibilities

This role demands a blend of artificial intelligence expertise and data engineering development skills to contribute to all phases of our product lifecycle, from conception to deployment.
  • Architect and build intelligent agents that automate data workflows, insights generation, and stakeholder interactions.
  • Integrate generative AI into data engineering pipelines and analytics platforms to enable scalable and adaptive solutions.
  • Collaborate with cross-functional teams including product managers, data scientists, and engineering partners to deliver high-impact outcomes.
  • Implement agent-based systems focused on data and insights.
  • Ensure performance, reliability, and security of solutions across diverse data environments.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.